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Evaluation of quantitative parametric analysis for characterization of breast lesions in contrast-enhanced MR mammography

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Abstract

Our aim was to evaluate quantitative parametric analysis for characterization of breast lesions in contrast-enhanced magnetic resonance (MR) mammography. In 62 patients, contrast-enhanced MR mammography revealed 75 suspicious lesions, of which 18 were benign and 57 were malignant. The quantitative parametric analysis delineates signal intensity changes of contrast-enhanced lesions on a pixel-by-pixel basis. The initial rate of enhancement is coded by color intensity: a slow rate is coded to dark; a fast rate, bright. The postinitial enhancement change is coded by color hue: blue for increasing signal intensity, green for plateau, and red for decrease in signal intensity. Malignant lesions showed a significantly higher number of bright-red (P=0.004) and medium-red (P<0.001) pixels than benign lesions. Benign lesions showed significantly more blue pixels than did malignant lesions (P=0.010). Of the 75 lesions, 72 (96%) showed heterogeneous distribution of pixel color hue. Quantitative parametric analysis of contrast kinetics in lesions can replace the subjective manual region of interest (ROI) method and makes a step toward standardization of MR mammography. It allows quantitative evaluation of different contrast kinetics parameters in contrast-enhanced breast lesions.

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Correspondence to E. A. M. Hauth.

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Hauth, E.A.M., Jaeger, H., Maderwald, S. et al. Evaluation of quantitative parametric analysis for characterization of breast lesions in contrast-enhanced MR mammography. Eur Radiol 16, 2834–2841 (2006). https://doi.org/10.1007/s00330-006-0348-5

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  • DOI: https://doi.org/10.1007/s00330-006-0348-5

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